Publication:
Longitudinal brain-age predictions comprising long-duration spaceflight missions
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-3488-9819 | |
| cris.virtualsource.department | 87938102-08cf-40ae-aa44-a30b0dff9070 | |
| cris.virtualsource.orcid | 87938102-08cf-40ae-aa44-a30b0dff9070 | |
| dc.contributor.author | Tang, Ge | |
| dc.contributor.author | Patil, Kaustubh R. | |
| dc.contributor.author | Hoffstaedter, Felix | |
| dc.contributor.author | More, Shammi | |
| dc.contributor.author | Eickhoff, Simon B. | |
| dc.contributor.author | Jillings, Steven | |
| dc.contributor.author | Jeurissen, Ben | |
| dc.contributor.author | Tomilovskaya, Elena | |
| dc.contributor.author | Gerlach, Darius | |
| dc.contributor.author | Nosikova, Inna | |
| dc.contributor.author | Riabova, Alexandra | |
| dc.contributor.author | Pechenkova, Ekaterina | |
| dc.contributor.author | Petrovichev, Viktor | |
| dc.contributor.author | Rukavishnikov, Ilya | |
| dc.contributor.author | Makovskaya, Lyudmila | |
| dc.contributor.author | Van Ombergen Angelique | |
| dc.contributor.author | Wuyts, Floris | |
| dc.contributor.author | Zu Eulenburg Peter | |
| dc.date.accessioned | 2026-04-23T07:52:18Z | |
| dc.date.available | 2026-04-23T07:52:18Z | |
| dc.date.createdwos | 2026-03-20 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Our study investigates the effects of long-duration spaceflight on brain aging in spacefarers using structural MRI and machine learning models. Pre-, post-, and follow-up scans of ROS cosmonauts ESA astronauts, and matched Earth-bounding controls were analyzed. We found a considerable difference between the spacefareres and the control group, especially in the ESA cohorts (ß = 0.63). In the ROS cohorts, we observed a difference between the pre- and post-flight scans. A post-hoc analysis revealed that the pre-flight brain age delta was 0.842 years less than the immediate post-flight brain age delta after long-duration spaceflight. All three machine learning models showed good to excellent intraclass correlation coefficients (ICC) between the two consecutive MRI sessions. Our findings suggest that long-duration spaceflight may have an effect on human brain aging as observed from MRI. | |
| dc.description.wosFundingText | Open Access funding enabled and organized by Projekt DEAL. | |
| dc.identifier.doi | 10.1038/s41526-026-00575-3 | |
| dc.identifier.issn | 2373-8065 | |
| dc.identifier.pmid | MEDLINE:41708639 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/59165 | |
| dc.language.iso | eng | |
| dc.provenance.editstepuser | greet.vanhoof@imec.be | |
| dc.publisher | NATURE PORTFOLIO | |
| dc.source.beginpage | 24 | |
| dc.source.journal | NPJ MICROGRAVITY | |
| dc.source.numberofpages | 8 | |
| dc.source.volume | 12 | |
| dc.title | Longitudinal brain-age predictions comprising long-duration spaceflight missions | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| imec.internal.crawledAt | 2026-03-23 | |
| imec.internal.source | crawler | |
| Files | Original bundle
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